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Results 1 - 10
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1,460
Live dense reconstruction with a single moving camera
- IEEE Conference on Computer Vision and pattern Recognition
, 2010
"... We present a method which enables rapid and dense reconstruction of scenes browsed by a single live camera. We take point-based real-time structure from motion (SFM) as our starting point, generating accurate 3D camera pose estimates and a sparse point cloud. Our main novel contribution is to use an ..."
Abstract
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Cited by 107 (5 self)
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We present a method which enables rapid and dense reconstruction of scenes browsed by a single live camera. We take point-based real-time structure from motion (SFM) as our starting point, generating accurate 3D camera pose estimates and a sparse point cloud. Our main novel contribution is to use
Active stereo-matching for one-shot dense reconstruction
"... Abstract: Stereo-vision in computer vision represents an important field for 3D reconstruction. Real time dense recon-struction, however, is only achieved for high textured surfaces in passive stereo-matching. In this work an active stereo-matching approach is proposed. A projected pattern is used t ..."
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Abstract: Stereo-vision in computer vision represents an important field for 3D reconstruction. Real time dense recon-struction, however, is only achieved for high textured surfaces in passive stereo-matching. In this work an active stereo-matching approach is proposed. A projected pattern is used
Quasi-Dense Reconstruction from Image Sequence
- in European Conference on Computer Vision (ECCV 02
, 2002
"... This paper proposes a quasi-dense reconstruction from uncalibrated sequence. The main innovation is that all geometry is computed based on re-sampled quasi-dense correspondences rather than the standard sparse points of interest. It not only produces more accurate and robust reconstruction due t ..."
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Cited by 30 (8 self)
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This paper proposes a quasi-dense reconstruction from uncalibrated sequence. The main innovation is that all geometry is computed based on re-sampled quasi-dense correspondences rather than the standard sparse points of interest. It not only produces more accurate and robust reconstruction due
An energy minimisation approach to stereo-temporal dense reconstruction
- in Proc. of IEEE Int. Conf. on Pattern Recognition
, 2004
"... We propose a novel energy minimisation framework for the dense reconstruction of stereo image sequences that incorporates data fidelity as well as spatial and temporal regularity. An iterated dynamic programming scheme is proposed to minimise the energy function. We also present an efficient impleme ..."
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Cited by 15 (1 self)
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We propose a novel energy minimisation framework for the dense reconstruction of stereo image sequences that incorporates data fidelity as well as spatial and temporal regularity. An iterated dynamic programming scheme is proposed to minimise the energy function. We also present an efficient
Surface Normal Aided Dense Reconstruction from Images
"... Reconstruction of 3D scenes from images is a popular task of computer vision with many applications. However, due to the inherent problems of using visual information as source, it is hard to achieve a precise reconstruction. We discuss dense matching of surfaces in the case when the images are take ..."
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Reconstruction of 3D scenes from images is a popular task of computer vision with many applications. However, due to the inherent problems of using visual information as source, it is hard to achieve a precise reconstruction. We discuss dense matching of surfaces in the case when the images
Dense Reconstruction Using Fixation and Stereo Cues
"... In this paper, we investigate the issue of accurate estimation of the three-dimensional (3D) coordinates of a static scene from real images, combining xation and stereo cues. We may need to compute 3D data in many applications: vehicle positioning and maneuver, object observation and recognition, mo ..."
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, moving or xed obstacle avoidance, 3D mapping for surveillance, etc. More speci cally, we discuss the idea of using xation to recover the 3D coordinates of some points in the robotic frame to help an uncalibrated camera to reconstruct a static scene.
Air-Ground Localization and Map Augmentation Using Monocular Dense Reconstruction
"... Abstract—We propose a new method for the localization of a Micro Aerial Vehicle (MAV) with respect to a ground robot. We solve the problem of registering the 3D maps computed by the robots using different sensors: a dense 3D reconstruction from the MAV monocular camera is aligned with the map comput ..."
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Abstract—We propose a new method for the localization of a Micro Aerial Vehicle (MAV) with respect to a ground robot. We solve the problem of registering the 3D maps computed by the robots using different sensors: a dense 3D reconstruction from the MAV monocular camera is aligned with the map
Appearance-based Active, Monocular, Dense Reconstruction for Micro Aerial Vehicles
"... Abstract—In this paper, we investigate the following problem: given the image of a scene, what is the trajectory that a robot-mounted camera should follow to allow optimal dense depth estimation? The solution we propose is based on maximizing the information gain over a set of candidate trajectories ..."
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Cited by 3 (0 self)
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in the case of real-time, monocular reconstruction from a micro aerial vehicle and validate the effectiveness of our solution in both synthetic and real experiments. To the best of our knowledge, this is the first work on active, monocular dense reconstruction, which chooses motion trajectories that minimize
A NOVEL STRUCTURED LIGHT METHOD FOR ONE-SHOT DENSE RECONSTRUCTION
"... Dense acquisition for moving scenarios represents an active field of research in Structured Light (SL). A common solution is to project a single one-shot fringe pattern, extracting depth from the phase deviation of the imaged pattern. This implies the use of a phase unwrapping algorithm, which can f ..."
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fail in the presence of depth discontinuities and occlusions. Our work presents a new one-shot dense pattern where De-Bruijn and Windowed Fourier Transform are combined obtaining a dense, absolute, accurate and computationally fast 3D reconstruction regarding the other existing techniques. Index Terms
I.: Dense reconstruction using 3d object shape priors
- In: CVPR, IEEE
"... We propose a formulation of monocular SLAM which combines live dense reconstruction with shape priors-based 3D tracking and reconstruction. Current live dense SLAM approaches are limited to the reconstruction of visible sur-faces. Moreover, most of them are based on the minimi-sation of a photo-cons ..."
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Cited by 13 (1 self)
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We propose a formulation of monocular SLAM which combines live dense reconstruction with shape priors-based 3D tracking and reconstruction. Current live dense SLAM approaches are limited to the reconstruction of visible sur-faces. Moreover, most of them are based on the minimi-sation of a photo
Results 1 - 10
of
1,460
